| CSectTTest | R Documentation |
The Cross-Sectional Test (CSect T) is a statistical tool employed in event
studies to evaluate the null hypothesis that the average abnormal return at
the event date is zero. The test statistic is distributed as t_{N-1}, where
N is the number of events in that group.
See also https://eventstudy.de/statistics/aar_caar_statistics.html
TestStatisticBase -> CSectTTest
nameShort code of the test statistic.
CSectTTest$compute()Computes the AAR/CAAR cross-sectional t test statistics.
CSectTTest$compute(data_tbl, model)
data_tblThe data for a multiple event with calculated abnormal returns.
modelThe fitted model: not necessary for this test statistics.
CSectTTest$clone()The objects of this class are cloneable with this method.
CSectTTest$clone(deep = FALSE)
deepWhether to make a deep clone.
Other eventstudy-statistics:
ARTTest,
BHARTTest,
BMPTest,
CARTTest,
CalendarTimePortfolioTest,
GeneralizedSignTest,
KolariPynnonenTest,
MultiEventStatisticsSet,
PatellZTest,
RankTest,
SignTest,
SingleEventStatisticsSet,
StatisticsSetBase,
TestStatisticBase,
adjust_p_values(),
bootstrap_test(),
car_by_group(),
car_quantiles(),
cross_sectional_regression(),
model_diagnostics(),
pretrend_test(),
simulate_event_study(),
validate_task()
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